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    Wyświetlanie 1-5 z 5
    Tytuł:
    Selected elements of a new method of induction motor efficiency determination
    Autorzy:
    Dabala, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/199896.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    maszyny elektryczne
    silniki indukcyjne
    określanie efektywności
    electrical machines
    induction motors
    efficiency under voltage distortions
    intervals in efficiency determination methods
    Opis:
    This paper presents the results of estimating method of the energy consumed by induction motors and the legal situation concerning the efficiency of electrical motors in the European Union. Three elements of a new method of induction motor efficiency determination are described: methodology of taking into account the influence of non-sinusoidal voltage and the voltage unbalance on the motor efficiency and the application of the interval arithmetic in order to determine the border error of the induction motor efficiency. It is proved that the middle of efficiency interval for the direct method of efficiency determination is always equal to or higher than the measurement result and the radius of interval is longer than the border error.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 2; 307-313
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computationally efficient method for determining the most important electrical parameters of axial field permanent magnet machine
    Autorzy:
    Smoleń, A.
    Gołębiowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/202137.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    axial flux permanent magnet
    2D FEA
    numerical optimization
    magnes stały
    optymalizacja numeryczna
    Opis:
    This paper describes a numerically efficient method for determining the electrical parameters of axial field permanent magnet machine (AFPM). The presented method aims to accurately determine the back EMF waveform and self-inductance coefficients, while maintaining possibly low computational complexity, which is crucial in case of incorporation of the method in numerical optimization procedure of AFPM construction. The described algorithm is based on 2D FEM with several simplifications. The obtained results have been compared with full 3D FEA conducted with Ansys/Maxwell software, and confirmed by measurements. The result shows that presented method ensures satisfactory accuracy as well as computational time performance.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 947-959
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimisation of neural state variables estimators of two-mass drive system using the Bayesian regularization method
    Autorzy:
    Kamiński, M.
    Orłowska-Kowalska, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/202379.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electrical drive
    two-mass system
    state estimation
    neural networks
    training methods
    Bayesian regularization
    Opis:
    The paper deals with the application of neural networks for state variables estimation of the electrical drive system with an elastic joint. The torsional vibration suppression of such drive system is achieved by the application of a special control structure with a state-space controller and additional feedbacks from mechanical state variables. Signals of the torsional torque and the load-machine speed, estimated by neural networks are used in the control structure. In the learning procedure of the neural networks a modified objective function with the regularization technique is introduced. For choosing the regularization parameters, the Bayesian interpretation of neural networks is used. It gives a possibility to calculate automatically these parameters in the learning process. In this work results obtained with the classical Levenberg-Marquardt algorithm and the expanded one by a regularization function are compared. High accuracy of the reconstructed signals is obtained without the necessity of the electrical drive system parameters identification. Simulation results show good precision of both presented neural estimators for a wide range of changes of the load speed and torque. Simulation results are verified by the laboratory experiments.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2011, 59, 1; 33-38
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An analytical-numerical method for calculating the stationary thermal field in electrical systems with elliptical cross-sections
    Autorzy:
    Gołębiowski, Jerzy
    Zaręba, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/2128141.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    analytical-numerical methods of field theory
    elliptical conductors
    Poisson's equation
    metody teorii pola analityczno-numeryczne
    przewodniki eliptyczne
    równanie Poissona
    Opis:
    In this article, an analytical-numerical approach to calculating a stationary thermal field in the elliptical region is presented. The eigenfunctions of the Laplace operator were determined analytically, whereas the coefficients of the eigenfunctions were obtained numerically. The cooling was modeled with 3rd kind (Hankel’s) boundary condition, where the total heat transfer coefficient was the sum of the convective and radiative components. The method was used to analyze the thermal field in an elliptical conductor and a dielectrically heated elliptical column. The basic parameters of these systems, i.e. their steady-state current rating and the maximum charge temperature, were determined. The results were verified using the finite element method and have been presented graphically.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; e136738, 1--6
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An analytical-numerical method for calculating the stationary thermal field in electrical systems with elliptical cross-sections
    Autorzy:
    Gołębiowski, Jerzy
    Zaręba, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/2173609.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    analytical-numerical methods of field theory
    elliptical conductors
    Poisson's equation
    metody teorii pola analityczno-numeryczne
    przewodniki eliptyczne
    równanie Poissona
    Opis:
    In this article, an analytical-numerical approach to calculating a stationary thermal field in the elliptical region is presented. The eigenfunctions of the Laplace operator were determined analytically, whereas the coefficients of the eigenfunctions were obtained numerically. The cooling was modeled with 3rd kind (Hankel’s) boundary condition, where the total heat transfer coefficient was the sum of the convective and radiative components. The method was used to analyze the thermal field in an elliptical conductor and a dielectrically heated elliptical column. The basic parameters of these systems, i.e. their steady-state current rating and the maximum charge temperature, were determined. The results were verified using the finite element method and have been presented graphically.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; art. no. e136738
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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